NURS FPX 4040 Assessment 3 Annotated Bibliography on Technology in Nursing
Student Name
Capella University
NURS-FPX 4040 Managing Health Information and Technology
Prof. Name
Date
Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing
The integration of Electronic Clinical Documentation with Clinical Decision Support (ECD-CDS) systems represents a transformative leap in healthcare technology. The system amalgamates Electronic Health Records (EHRs) with decision support tools, offering healthcare providers multiple benefits, including alerts and guidance. ECD-CDS has proven to be efficient in healthcare settings for nurses and other healthcare providers by reducing burden, taking management, and care delivery in various departments such as primary care, oncology anesthesiology, and more (Lehmann & Subbian, 2023). The paper focuses on evaluating the integration of ECD-CDS systems in nursing practice. It involves an evidence-based proposal and an annotated bibliography to explore how these technologies enhance clinical decision-making, improving quality and patient safety.
Annotated Bibliographies
My initial research demonstrates the ability of ECD-CDS systems to provide immediate, actionable insights at the point of care. It reduces the cognitive load on healthcare personnel, minimizes errors, and ensures adherence to the latest clinical guidelines (Mebrahtu et al., 2021). After initial research, I comprehensively explored relevant literature and empirical studies through several databases, including PubMed and CINAHL.
The search terms I used were strategically chosen to capture the scope of the topic, such as “Electronic Health Records,” “Clinical Decision Support,” “Patient Safety,” and “Clinical Outcomes.” By utilizing the CRAAP (Currency, Relevance, Authority, Accuracy, and Purpose) test method, I opted for recent publications to ensure relevant and up-to-date articles. Integration of ECD-CDS in nursing practice improves care processes and enhances patient safety (Mebrahtu et al., 2021).
Identifying Academic Peer-Reviewed Journal Articles
Stipelman, C. H., Kukhareva, P. V., Trepman, E., Nguyen, Q.-T., Valdez, L., Kenost, C., Hightower, M., & Kawamoto, K. (2022). Electronic health record-integrated clinical decision support for clinicians serving populations facing health care disparities: literature review. Yearbook of Medical Informatics, 31(01), 184–198. https://doi.org/10.1055/s-0042-1742518
The article focuses on the integration of EHR-based CDS systems for clinicians who serve populations facing healthcare disparities due to the exclusion of certain risk factors. It aims to understand how EHR-integrated CDS can improve clinical outcomes and reduce health disparities. According to the author, the systems significantly improve patient safety and care quality; for example, real-time alerts about potential drug interactions and contraindications help proactively address adverse events. These systems help mitigate errors and ensure clinical decisions through comprehensive data, which is crucial for populations with health disparities.
The technology is highly relevant to nursing practice and interdisciplinary teams as it facilitates better communication, coordination, and efficiency among team members. For nurses, it offers essential support in monitoring patient conditions, administering medications, and making informed decisions. This support extends to the broader healthcare team by 73% of successful outcomes, enhancing workflow and ensuring access to the same information among all members. The detailed examination of how these systems can bridge gaps in healthcare disparities makes it an important resource for healthcare practitioners.
NURS FPX 4040 Assessment 3 Annotated Bibliography on Technology in Nursing
Gold, R., Sheppler, C., Hessler, D., Bunce, A., Cottrell, E., Yosuf, N., Pisciotta, M., Gunn, R., Leo, M., & Gottlieb, L. (2021). Using electronic health record-based clinical decision support to provide social risk-informed care in community health centers: Protocol for the design and assessment of a clinical decision support tool. JMIR Research Protocols, 10(10), e31733. https://doi.org/10.2196/31733
This research focuses on the development and assessment of an EHR-based CDS tool designed to provide informed care regarding social risks in community health centers. It assesses the effectiveness of the system in improving care for patients facing social risks like housing instability, food insecurity, and lack of transportation. According to the author, EHR-based CDS can significantly enhance patient safety and care quality by incorporating social factors in clinical decision-making. For example, a comprehensive approach ensures that healthcare providers can address both medical and social needs, leading to more holistic and effective patient care and ultimately enhancing care delivery.
The technology is particularly relevant to nursing practice and interdisciplinary teams as it promotes a more integrated approach to patient care. For nurses, it provides critical insights into patients’ social contexts, enabling more personalized and effective interventions. The tool also facilitates better coordination among interdisciplinary teams, ensuring all aspects of a patient’s well-being are considered in the care plan. The rationale for selecting this publication is the innovative use of CDS tools to address social determinants of health, a crucial yet often overlooked aspect of patient care. It can help healthcare practitioners with a framework for integrating social risk factors into clinical practice, which can lead to improved health outcomes and reduce disparities.
NURS FPX 4040 Assessment 3 Annotated Bibliography on Technology in Nursing
Mahmoud, A., Alkhenizan, A., Shafiq, M., & Alsoghayer, S. (2020). The impact of the implementation of a clinical decision support system on the quality of healthcare services in a primary care setting. Journal of Family Medicine and Primary Care, 9(12), 6078. https://doi.org/10.4103/jfmpc.jfmpc_1728_20
This research focuses on assessing the impact of implementing a CDS system on care quality in a primary care setting. It presents a study evaluating the effects, discussing the implementation process, utilization rates, and the observed impact on the quality of healthcare services delivered in a primary care environment. According to the author, the implementation of the CDS system positively impacts patient safety and care quality by enhancing clinical decision-making processes. For instance, it improves adherence to best practices regarding chronic diseases, medication management, and preventive services.
Nurses benefit from improved access to clinical information, aiding patients in patient assessment and intervention planning. It also helps interdisciplinary teams benefit from enhanced communication and collaboration facilitated by the CDS system. The rationale for selecting this source is the direct address to CDS implementation’s impact on the quality of healthcare services. Healthcare personnel can gain insights into how CDS can improve patient safety, clinical decision-making, and care quality in primary care settings. It is a valuable resource for improving practice standards and patient outcomes.
Yao, Y., Lopez, K. D., Bjarnadottir, R. I., Macieira, T. G. R., Santos, F. C. D., Madandola, O. O., Cho, H., Priola, K. J. B., Wolf, J., Wilkie, D. J., & Keenan, G. (2023). Examining care planning efficiency and clinical decision support adoption in a system tailoring to nurses’ graph literacy: National, web-based randomized controlled trial. Journal of Medical Internet Research, 25, e45043. https://doi.org/10.2196/45043
NURS FPX 4040 Assessment 3 Annotated Bibliography on Technology in Nursing
This article presents findings from a national randomized control trial assessing the impact of a CDS system in an EHR system tailored to nurses’ graph literacy on care planning efficiency. It explores how the CDS system influences clinical decision-making processes and care quality by addressing issues of system format that make it challenging for nurses to record and access easily. Sense of dissatisfaction and burnout is inevitable due to an inefficient EHR system. According to the authors, the technology examined positively impacts patient safety and care quality by managing and presenting data in an accessible format.
It helps nurses to access patient data, which is extensive and complex, in an understandable and manageable manner with the CDS system, improving their intervention planning. An interdisciplinary team benefits in several ways, for instance, streamlined communication, enhanced data interpretation, and improved patient care coordination. This resource is important for healthcare practitioners as it provides insights into how technology can be customized to enhance nurses’ decision-making processes and improve care quality, ultimately benefiting patient outcomes.
Summary of Recommendation
The summary entails the authors’ recommendations regarding the interdisciplinary application of the EHR-based CDS systems. Stipelman et al. (2022), suggest a user-based interface for EHR- an integrated, interoperable CDS system to ensure sub-groups are provided with high-quality and equitable care, which otherwise is the target of healthcare disparities. Gold et al. (2021), suggest that incorporating social risk factors is essential for improved patient care and outcomes, promoting equity and reducing inequalities. However, it requires an EHR-based CDS system with advanced features to utilize social factors information, ensuring an interdisciplinary approach.
Mahmoud et al. (2020), recommend that EHR-based CDS has the potential to provide value-based care in multiple domains because it improves clinical outcomes through improved screenings, early diagnosis, and efficient management of chronic diseases. Yao et al. (2023), suggest that EHR-integrated CDS tools will enhance nurses’ satisfaction because of improved processes and manageable extensive data, improving care quality due to enhanced productivity and patient health outcomes.
Organizational Factors Affecting EHR-based CDS system
Several organizational factors can influence the integration of EHR-based CDS technology in healthcare settings. Firstly, financial considerations, including initial investment, ongoing maintenance, and potential Return on Investment (ROI), play a critical role (Sutton et al., 2020). Lack of investment will lead to inefficient ECD-CDS systems and impact the quality and safety of care delivery. Technologies must meet healthcare regulations and standards that demand compliance mandates, such as HIPAA, for patient data security. The compatibility of the CDS tool with the current EHR is another important factor for seamless integration and data interoperability (Mebrahtu et al., 2021).
Further, the ease of use for healthcare providers and the availability of training and support influence technology adoption. Lastly, the organization’s staff readiness for change and the technology’s alignment with its culture and workflow practices is a crucial consideration (Alexiuk et al., 2023). To address these hurdles, investment must be secured with a demonstration of potential benefits and ROI, strong policies must be implemented, and training sessions should be conducted to address the resistance to adoption and improve usability within the healthcare system.
Justification for Implementation of Technology
Implementing ECD-CDS in a healthcare setting is justified by its significant positive impact on quality care and patient safety. ECD-CDS enhances clinical decision-making by providing real-time alerts on potential drug interactions, contraindications, and other critical clinical guidance, thereby reducing medical errors and adverse events (Meunier et al., 2023). The effectiveness of EHR-integrated CDS is justified as it provides timely and accurate clinical information to healthcare providers, thereby enhancing decision-making processes.
Research indicates that ECD-CDS systems improve adherence to evidence-based practices, streamline clinical workflows, and facilitate better communication among interdisciplinary teams (Hak et al., 2022). The streamlined process allows nurses to focus more on direct patient care instead of administrative tasks, enhancing job satisfaction and reducing burnout. This leads to more accurate diagnoses, timely interventions, and improved patient outcomes, demonstrating a clear benefit to both patient safety and the quality of care provided (Hak et al., 2022).
Conclusion
In conclusion, the integration of ECD-CDS systems in healthcare settings enhances clinical decision-making, improves patient safety, and elevates the quality of care. By addressing healthcare disparities, incorporating social risk factors, and tailoring to nurses’ needs, ECD-CDS systems support holistic, efficient, and equitable care. The comprehensive benefits of ECD-CDS justify its adoption and implementation across various healthcare domains.
References
Alexiuk, M., Elgubtan, H., & Tangri, N. (2023). Clinical decision support tools in the EMR. Kidney International Reports, 9(1). https://doi.org/10.1016/j.ekir.2023.10.019
Gold, R., Sheppler, C., Hessler, D., Bunce, A., Cottrell, E., Yosuf, N., Pisciotta, M., Gunn, R., Leo, M., & Gottlieb, L. (2021). Using electronic health record-based clinical decision support to provide social risk-informed care in community health centers: protocol for the design and assessment of a clinical decision support Tool. JMIR Research Protocols, 10(10), e31733. https://doi.org/10.2196/31733
Hak, F., Guimarães, T., & Santos, M. (2022). Towards effective clinical decision support systems: A systematic review. PLOS ONE, 17(8). https://doi.org/10.1371/journal.pone.0272846
Lehmann, C. U., & Subbian, V. (2023). Advances in clinical decision support systems: Contributions from the 2022 literature. Yearbook of Medical Informatics, 32(01), 179–183. https://doi.org/10.1055/s-0043-1768751
Mahmoud, A., Alkhenizan, A., Shafiq, M., & Alsoghayer, S. (2020). The impact of the implementation of a clinical decision support system on the quality of healthcare services in a primary care setting. Journal of Family Medicine and Primary Care, 9(12), 6078. https://doi.org/10.4103/jfmpc.jfmpc_1728_20
NURS FPX 4040 Assessment 3 Annotated Bibliography on Technology in Nursing
Mebrahtu, T. F., Skyrme, S., Randell, R., Keenan, A.-M., Bloor, K., Yang, H., Andre, D., Ledward, A., King, H., & Thompson, C. (2021). Effects of Computerised Clinical Decision Support Systems (CDSS) on nursing and allied health professional performance and patient outcomes: A systematic review of experimental and observational studies. BMJ Open, 11(12), e053886. https://doi.org/10.1136/bmjopen-2021-053886
Meunier, P.-Y., Raynaud, C., Guimaraes, E., Gueyffier, F., & Letrilliart, L. (2023). Barriers and facilitators to the use of clinical decision support systems in primary care: A mixed-methods systematic review. The Annals of Family Medicine, 21(1), 57–69. https://doi.org/10.1370/afm.2908
Stipelman, C. H., Kukhareva, P. V., Trepman, E., Nguyen, Q.-T., Valdez, L., Kenost, C., Hightower, M., & Kawamoto, K. (2022). Electronic health record-integrated clinical decision support for clinicians serving populations facing health care disparities: Literature review. Yearbook of Medical Informatics, 31(01), 184–198. https://doi.org/10.1055/s-0042-1742518
Sutton, R., Pincock, D., Baumgart, D., Sadowski, D., Fedorak, R., & Kroeker, K. (2020). An overview of clinical decision support systems: benefits, risks, and strategies for success. NPJ Digital Medicine, 3(1), 1–10. https://doi.org/10.1038/s41746-020-0221-y
NURS FPX 4040 Assessment 3 Annotated Bibliography on Technology in Nursing
Yao, Y., Lopez, K. D., Bjarnadottir, R. I., Macieira, T. G. R., Santos, F. C. D., Madandola, O. O., Cho, H., Priola, K. J. B., Wolf, J., Wilkie, D. J., & Keenan, G. (2023). Examining care planning efficiency and clinical decision support adoption in a system tailoring to nurses’ graph literacy: National, web-based randomized controlled trial. Journal of Medical Internet Research, 25, e45043. https://doi.org/10.2196/45043